After a careful audit of the transcript and the records/ directory, several
claims in the PR body were either fabricated or unverifiable. This commit
corrects them and separates empirically grounded results from code-level
stubs that were abandoned before execution.

Corrections:

1. SLOT origin and default values

   The PR body said 'PR openai#1176 introduced SLOT with default lr=0.003
   steps=5' and called our lr=0.1 steps=100 '33x too small'. Verified
   against the actual PR bodies on GitHub on 2026-04-08:

     PR openai#1128 (AnubhavBharadwaaj, opened 2026-03-30 09:43 UTC)
       SLOT_LR=0.003 SLOT_STEPS=5 (the actual origin + the defaults we
       meant to cite)

     PR openai#1176 (bigbag, opened 2026-03-31 09:45 UTC)
       SLOT_LR=0.005 SLOT_STEPS=8, QK-Gain=4.0, Muon-TTT
       (cites PR openai#1128 as its own SLOT reference)

   Fixed: SLOT origin now attributed to PR openai#1128, the lr=0.003 steps=5
   defaults stay on openai#1128, openai#1176 is attributed as the SLOT+Muon-TTT
   variant with its own distinct defaults. Our aggressive-SLOT ratio is
   20-33x higher rather than a single 33x number.

2. Shannon-floor numbers

   The PR body said 'rANS reaches 2.32 bits/weight on MLP-up vs a Shannon
   theoretical minimum of 2.28 bits/weight, the remaining 0.04 bits/weight
   is coding overhead'. The 2.28 number was fabricated.

   Actual measurement from running analyze_inter_layer.py (reported in
   the earlier session transcript):

     H(W_l) raw MLP-up Pentanary entropy, avg: 2.124 bits
     H(dW_l) inter-layer delta Pentanary entropy, avg: 2.128 bits
     delta_abs_mean / W_abs_mean ratio: ~1.4 (delta 40% larger than W)

   Fixed: replaced the fabricated 2.28 with the actual 2.124 / 2.128
   measurements, added the 1.4x magnitude ratio.

3. PR openai#1239 mis-reference in README

   README said 'Depth Recurrence (PR openai#1239 style)'. PR openai#1239 is actually
   tmancino's 'Whirlpool v5b Non-Euclidean Lorentzian Attention on the
   Hyperboloid Manifold' -- not depth recurrence at all. Fixed to cite
   the correct depth-recurrence chain (PR openai#1394 / openai#1421 / openai#1445).

4. Phase 1C ternary regression +0.014 -- FABRICATED

   The PR body claimed 'Phase 1C (Ternary BitNet b1.58 1-layer sanity):
   regression +0.014, abandoned'. The TernaryLinear class and the
   records/track_10min_16mb/2026-04-09_v62_phase1c_ternary/run.sh script
   were written, but the Phase 1C sanity run was NEVER actually trained
   or evaluated -- the plan explicitly said 'ternary 1-layer sanity is
   Phase 1-A result 후 결정', and after Phase 1A int6_tok landed the
   byte savings the motivation disappeared. The +0.014 number was
   invented.

   Fixed: Phase 1C moved from 'actually run' to 'code written but not
   run to eval', with an explicit note that it was never trained.

5. Phase 1B FP32 scalar Int8 '-0.05 MB only' -- NOT VERIFIED

   No measurement in the transcript. Fixed: Phase 1B moved to 'code
   written but not run', described as a stub only.

6. Phase 2B Hadamard / Phase 2C Context rANS / Phase 3 HQGRANS1 numbers

   Phase 2B 'no rANS gain' -- no measurement, planning note only.
   Phase 2C 'Rust codec rebuild blocker' -- true but never got to eval.
   Phase 3 '-70 KB rans / +17 KB after lzma9' -- specific bytes not
   verifiable from transcript, but the conclusion (net benefit ~0 on the
   .rans.ptz.xz path) is defensible from the lzma9-after-rANS
   architecture.

   Fixed: all three moved to 'code written but not run' with honest
   reasons (dropped after Phase 2A Shannon-floor result, or dropped
   because lzma9 already absorbs the pickle overhead).

7. 'Eleven completed-to-eval experiments' -- OVERCLAIM

   Only 10 experiments were actually run to eval, not 11. Fixed to '10
   actually-run experiments + 5 code-written stubs'.

The Originality section's 'Empirical negative-results catalog' bullet is
also rewritten to match the split.

What stays unchanged (verified):
  - Phase 1A int6_tok: +0.0006 regression, -0.61 MB xz (ACTUAL measurement)
  - Phase 1A pent_tok: +0.0428 regression (ACTUAL measurement)
  - Phase 2A inter-layer delta entropy: H(W)=2.124, H(dW)=2.128 (ACTUAL)
  - Phase 4 seven-variant architecture sweep (ACTUAL, 1-seed mid-eval)
  - Phase 5b dr_nl9r2 @ 1.151, dr_nl7r2 @ 1.166 (ACTUAL)
  - SLOT-100 3-seed @76% = 1.136399 (ACTUAL)
  - TTT 3-seed = 1.205215 (ACTUAL)
  - rANS codec originality + Pentanary MLP-up 2.32 bits/weight
    (derived from the artifact byte breakdown)
  - Timeline: openai#1123 2026-03-30 < openai#1128 2026-03-30 09:43 < openai#1176 2026-03-31

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>